Ahmed007/vit-base-patch16-224-in21k-Dr.Smart

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.3448
  • Train Accuracy: 0.9475
  • Train Top-3-accuracy: 0.9910
  • Validation Loss: 0.7867
  • Validation Accuracy: 0.7646
  • Validation Top-3-accuracy: 0.9395
  • Epoch: 4

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  • training_precision: mixed_float16

Training results

Train Loss Train Accuracy Train Top-3-accuracy Validation Loss Validation Accuracy Validation Top-3-accuracy Epoch
1.6331 0.5028 0.7892 1.2982 0.6197 0.8717 0
1.0538 0.7156 0.9293 1.0441 0.6975 0.9116 1
0.6956 0.8427 0.9699 0.8748 0.7493 0.9282 2
0.4569 0.9177 0.9855 0.8106 0.7613 0.9335 3
0.3448 0.9475 0.9910 0.7867 0.7646 0.9395 4

Framework versions

  • Transformers 4.31.0.dev0
  • TensorFlow 2.12.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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